Improving Service Excellence in the Procurement Process of Products Through the HaloProc Chatbot: A Project at XYZ

Authors

  • Harry Purwoko Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia.
  • Tenaka Budiman Institut Transportasi dan Logistik Trisakti, Jakarta, Indonesia.
  • Tri Harsoyo Sembada Pratama, Jakarta, Indonesia.

DOI:

https://doi.org/10.38035/sijdb.v2i3.143

Keywords:

procurement,, cause-and-effect analysis,, risk matrix,, robotic chat

Abstract

The procurement department plays a very important role in XYZ's operational continuity. The procurement team faces several challenges, such as complex and lengthy processes, limited communication, time, and resources, the length of time it takes for service users to take care of procurement documents, and understated budget absorption. This research aims to find the cause of these problems and provide solutions. This study uses qualitative methods by using a root cause analysis or cause-and-effect analysis worked by the procurement team. The results of the cause-and-effect analysis were combined with the Five Quality and Risk Matrix method. The result was the finding that the quality factor of procurement preparation was the most important root cause with a Risk Level of 15 or 41.67% of all root problems, mainly due to the lack of proper means of communication between the service user and the procurement team. Several solutions were proposed, and the one agreed upon was to create a booking system using a ChatBot called HaloProc. The implementation of HaloProc most likely will help improve service excellence in the procurement process of XYZ.

References

Ageshin, E. A. (2001). E-procurement at work: A case study. Production and Inventory Management Journal, 42(1), 48-53+vi.

Bognár, F., & Heged?s, C. (2022). Analysis and Consequences on Some Aggregation Functions of PRISM (Partial Risk Map) Risk Assessment Method. Mathematics, 10(5). https://doi.org/10.3390/math10050676

Colletaz, G., Hurlin, C., & Pérignon, C. (2013). The Risk Map: A new tool for validating risk models. Journal of Banking and Finance, 37(10), 3843–3854. https://doi.org/10.1016/j.jbankfin.2013.06.006

Duan, Y., Zhao, J., Chen, J., & Bai, G. (2016). A risk matrix analysis method based on potential risk influence: A case study on cryogenic liquid hydrogen filling system. Process Safety and Environmental Protection, 102, 277–287. https://doi.org/10.1016/j.psep.2016.03.022

Guo, S., Li, J., He, J., Luo, W., & Chen, B. (2022). A modified risk matrix method for behavioral risk evaluation in the construction industry. Journal of Asian Architecture and Building Engineering, 21(3), 1053–1066. https://doi.org/10.1080/ 13467581.2021.1905647

Holifahtus Sakdiyah, S., Eltivia, N., & Afandi, A. (2022). Root Cause Analysis Using Fishbone Diagram: Company Management Decision Making. Journal of Applied Business, Taxation and Economics Research, 1(6), 566–576. https://doi.org/10.54408/jabter.v1i6.103

Ilie, G., & Ciocoiu, C. N. (2010). Application of Fishbone Diagram To Determine the Risk of an Event With Multiple Causes Management Research and Practice. Application of Fishbone Diagram To Determine the Risk of an Event With Multiple Causes Management Research and Practice, 2(1), 1–20.

Jahani, N., Sepehri, A., Vandchali, H. R., & Tirkolaee, E. B. (2021). Application of industry 4.0 in the procurement processes of supply chains: A systematic literature review. Sustainability (Switzerland), 13(14), 1–25. https://doi.org/10.3390/su13147520

Sharma, K. D., & Srivastava, S. (2018). Failure Mode and Effect Analysis (FMEA) Implementation: A Literature Review. Copyright Journal of Advance Research in Aeronautics and Space Science J Adv Res Aero SpaceSci, 5(2), 2454–8669.

Sipos, C., & Pató, B. S. G. (2022). Three-dimensional QCD framework of the supply chain. International Review of Applied Sciences and Engineering, 13(3), 298–308. https://doi.org/10.1556/1848.2021.00386

Uhl, C., Nabhani, F., Kauf, F., Shokri, A., & Hughes, D. (2017). Purchasing Management: The Optimisation of Product Variance. Procedia Manufacturing, 11(June), 1366–1374. https://doi.org/10.1016/j.promfg.2017.07.266

Waithaka, R. K. (2021). Effect of e-procurement practices on supply chain performance. Global Journal of Purchasing and Procurement Management, 1(1), 32–42.

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Published

2025-03-04

How to Cite

Purwoko, H., Budiman, T., & Harsoyo, T. (2025). Improving Service Excellence in the Procurement Process of Products Through the HaloProc Chatbot: A Project at XYZ. Siber International Journal of Digital Business (SIJDB), 2(3), 203–209. https://doi.org/10.38035/sijdb.v2i3.143

Issue

Vol. 2 No. 3 (2025): (SIJDB) Siber International Journal of Digital Business (January - March 2025)

Section

Articles

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Copyright (c) 2025 Harry Purwoko, Tenaka Budiman, Tri Harsoyo

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